Table 5 Comparison of classification accuracy and processing time for the distance matrix computation with MEGA7(MUSCLE), MEGA7(CLUSTALW), FPP, and ML-DSP
DataSet | Parameter | MEGA7 (MUSCLE) | MEGA7 (CLUSTALW) | FFP | ML-DSP |
|---|---|---|---|---|---|
Influenza Virus | Maximum Classification Accuracy | 97.4% | 97.4% | 68.4% | 100% |
(38 sequences) | Average Classification Accuracy | 93.4% | 95.6% | 57.0% | 94.7% |
Average Length: 1407bp | Processing Time | 7.44 sec | 2 min 14 sec | 0.2 sec | 0.2 sec |
Mammalia | Maximum Classification Accuracy | 95.1% | 95.1% | 49.6% | 92.7% |
(41 sequences) | Average Classification Accuracy | 89.7% | 90.7% | 41.5% | 87.8% |
Average Length: 16647bp | Processing Time | 11 min 15sec | 5 hr 38 min | 0.3 sec | 0.3 sec |
Vertebrates | Maximum Classification Accuracy | —— | —— | 61.7% | 99.7% |
(4322 sequences) | Average Classification Accuracy | —— | —— | 48.3% | 98.3% |
Average Length: 16806bp | Processing Time | >2 h | >6 h | 94 sec | 28 sec |